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The Mcp Nfse Nacional MCP server costs 303 tokens before the first call.

Connect Mcp Nfse Nacional and its 3 tool definitions are loaded into the model's context on every request — 0.2% of a 200k window spent before your agent does anything.

QUICK ANSWER The Mcp Nfse Nacional MCP server's tool definitions consume 303 tokens — below the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 3 tools · 303 tokens · 0.2% of 200k · 0.0% of 1M Method →

What that buys before your agent starts working.

Tool definitions are overhead: they occupy context on every request and compete with your code, documents and conversation history for the same window.

200K WINDOW 0.2%
1M WINDOW 0.0%

Corpus context: Mcp Nfse Nacional ranks #3060 of 3,213 measured MCP servers by definition cost. The median is 1,905 tokens, p90 is 7,952, and the heaviest (Fusionauth) is 183,337 — 92% of a 200k window on its own.

Where the 303 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 101 tokens per tool.

ToolCategoryTokens% of server
nfse_buscar Read 118 38.9%
nfse_detalhes Read 96 31.7%
nfse_pdf Read 89 29.4%

Most agents use a handful of these tools. They pay for all 3.

A PolicyLayer grant exposes only the tools you allow — ungranted definitions are filtered out of the tool list, so they never enter the context window. Estimates below assume typical-weight tools (101 tokens each).

At 3 tools, Mcp Nfse Nacional is already a small surface — the win here is policy control and audit rather than token savings.

Mcp Nfse Nacional token-cost questions.

How many tokens does the Mcp Nfse Nacional MCP server use?+

Its 3 tool definitions total 303 tokens — 0.2% of a 200k context window — measured with tiktoken o200k_base over the serialised tools/list payload. Exact counts vary slightly by client and model.

Why does Mcp Nfse Nacional consume tokens before I send a message?+

MCP clients load every connected server's tool definitions — name, description, and input schema — into the model's context so it knows what it can call. That payload is charged against your context window on every request, whether or not a tool is used.

How do I reduce Mcp Nfse Nacional's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Mcp Nfse Nacional to only the tools you allow — ungranted definitions are filtered out of the tool list, so they never enter the context window.

Does deferred tool loading fix this?+

Partially, in some clients. Claude Code defers MCP tool schemas behind a tool-search step by default, and VS Code has experimental grouping — but you still pay tokens per search and reload, and Cursor, Windsurf and Gemini CLI load definitions upfront. Reducing the exposed tool set cuts the cost in every client.

How these numbers were measured.

01
Serialisation

Each tool is serialised as a tools/list entry — name, description, input schema — from the schemas in the PolicyLayer scan database. Clients differ slightly in framing, so treat counts as close estimates.

02
Tokeniser

tiktoken o200k_base (GPT-4o/o-series). Anthropic's current tokeniser isn't published, so Claude's exact counts will differ; for English text and JSON schemas the totals are close enough to treat these as estimates.

03
Deferred loading

Some clients now defer schema loading (Claude Code's tool search; VS Code experimental grouping). You still pay per search and reload — and Cursor, Windsurf and Gemini CLI load everything upfront.

Computed 07-06-2026 from the PolicyLayer scan database over all 3 catalogued Mcp Nfse Nacional tools. Counts refresh with every site build.

Expose only the tools you use — the rest never enter your context.

A PolicyLayer grant scopes Mcp Nfse Nacional to the tools you actually allow. Ungranted definitions never load, and every call that does run is checked against policy first.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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